Multidimensional Facets of Perceived Risk in Mobile Travel Booking

Park, Sang Won; Tussyadiah, Iis

doi:10.1177/0047287516675062

Cited by 168 publications

(127 citation statements)

References 84 publications

(156 reference statements)

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“…CMB can result in measurement errors, impacting negatively on the validity of conclusions because of inflations in the true correlation estimates among constructs (Agag & El-Masry, 2016). To avoid such a situation in this study, the Harman's single-factor approach was used to check for CMB (Park & Tussyadiah, 2016;Podsakoff, MacKenzie, Lee, & Podsakoff, 2003). The nonexistence of CMB was obvious from this result as the first (and largest) factor accounted for 17% of the total variance which was lower than the cut-off point of 50%.…”

Section: Common Methods Bias (Cmb) Assessment Of Perceived Riskmentioning

confidence: 99%

Insurance uptake among small and medium-sized tourism and hospitality enterprises in a resource-scarce environment

Dayour

Adongo

Kimbu

2020

Tourism Management Perspectives

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A B S T R A C TSmall and medium-sized tourism and hospitality enterprises (SMTHEs) are often susceptible to various hazards, which result in risk concerns. Insurance is recognised as one of the risk management strategies, but evidence indicates that insurance uptake among SMTHEs has been low. Yet, researchers have hardly researched into the factors that influence insurance uptake among SMTHEs. Two-hundred and fifty (250) respondents were selected using a multi-stage sampling technique. Confirmatory factor analysis, multivariate logit and probit regression techniques were used to determine factors underlying SMTHEs' insurance uptake. Risk concerns, the firm's characteristics, the perceived benefits of insurance and other informal risk coping mechanisms, as well as insurance service provision concerns were identified as determinants of insurance uptake. This is one of the first papers to offer a holistic understanding of the factors influencing SMTHEs' insurance subscription in a resourcescarce destination of Sub-Saharan Africa. The practical and theoretical implications of the paper are discussed.

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Section: Common Methods Bias (Cmb) Assessment Of Perceived Riskmentioning

confidence: 99%

Insurance uptake among small and medium-sized tourism and hospitality enterprises in a resource-scarce environment

Dayour

Adongo

Kimbu

2020

Tourism Management Perspectives

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“…According to Beinat [58], privacy risk issues involve the ability to collect, store, use and disclose users' locations. Other literature identifies various aspects that characterise privacy risk (improper access to and the collection and unauthorised secondary use of personal information), which were taken into account when designing the issues surveyed in this study [8,45,53,[59][60][61]. Subsequently, several questions were included in order to obtain information on privacy risk perception: "It bothers me that when I use mobile devices I can be observed by other people or they can know my exact position"; "It upsets me if my personal data is used to offer me customised services and products"; "I like to receive messages about personalised services and product offers on my mobile device when I'm on holiday"; and "I like to post personal comments and photographs on social media, despite the fact that someone may recognise me or figure out where I am".…”

Section: Methodsmentioning

confidence: 99%

“…Various facets of risk have been measured as drivers of consumer behaviour; however, only two risk types will be used for the purpose of our research: privacy risk and dependence on technology (over-dependence risk). Privacy risk refers to "the potential loss of control over personal information, such us when information about a traveller is used without his or her knowledge or permission" [53]. Tourists' dependence on technology is a psychological risk type in the sense that an intensive use of technology can have negative effects on the tourist experience and generate frustration in tourists.…”

Section: The Use Of Mobile Devices and The Perception Of Risk Among Tmentioning

confidence: 99%

Tourists’ Risk Perception and the Use of Mobile Devices in Beach Tourism Destinations

et al. 2018

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Abstract:The perceived risk of tourists' use of smartphones is a key issue in shaping the tourist experience in terms of sustainability, as it can affect the behaviour of tourists and influence their satisfaction with that experience. However, little empirical research exists on the relationship between tourists' risk perception and the perceived value of mobile device usage. This paper measures the association between tourists' perceived risk of mobile device usage and several variables that demonstrate the perceived usefulness of mobile devices: utility, hedonic value and future intention of use. A survey on tourists' use of smartphones was conducted in 2016 and, by means of a cluster analysis, four groups of tourists were identified with significant differences in their perception of the risk and use value of smartphones. Differences between tourists suggest that a single digital tourist profile does not exist and that tourism destinations and smart tourism DMOs (destination marketing organisations) should include risk perception in their management agenda. This will allow them to achieve a better understanding of tourist behaviour and to adapt the commercialisation of tourism products and services to a wide range of tourism needs. In addition, four regression models were applied to measure the association between the risk and perceived usefulness of mobile devices. On the one hand, dependence on mobile devices was associated positively with the perceived usefulness of mobile devices. On the other hand, the tourists surveyed saw privacy risk as having a major negative impact on the tourist experience, although it did not affect their perceived utility value and future use of mobile devices. Smart tourism destination managers should bear in mind that privacy risk issues related to the use of mobile devices must be integrated into an ethical perspective when marketing a destination.

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“…(Featherman & Pavlou, 2002). Park and Tussyadiah (2016) define device risk as the potential loss through the unreliable technology infrastructure of a mobile service. Featherman & Pavlou, (2002) define psychological risk as "probable loss of self-esteem and ego frustration linked to the lack of fulfilment of the consumer's purchasing goal.…”

Section: Perceived Riskmentioning

confidence: 99%

“…Given the critical need for trust and the high levels of risk in mobile commerce, research into the impact of institution-based trust on the acceptance of technology has increased lately (Maduku, 2016;Gao & Waechter, 2015;Li, Jiang & Wu, 2014) and the impact of perceived risk on electronic commerce adoption (Arvidsson, 2014;Cruz, Neto, Murioz-Gallego & Laukkanen, 2010;Park & Tussyadiah, 2016).…”

Section: Introductionmentioning

confidence: 99%

Dimensions of perceived risk of mobile banking apps: An empirical investigation of South African retail banking customers.

Thusi

Maduku

Kalpa Publications in Computing

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Banking transactions carried out in the uncertain conditions of mobile commerce involve highlevels of perceived risk and require substantial levels of trust. Therefore, gaining customer trust and reducing the influence of risk is imperative to developing and nurturing long-lasting and strong relationship between customers and retail banks. However, limited research is currently investigating the effects of overall perceived risk and trust on retail banking customers use of mobile commerce, particularly from the perspective of emerging African economies. This study investigates the effects of perceived risk and institution-based trust on the use of mobile banking apps among South African retail bank customers. The model was tested using responses obtained from 352 users of the mobile banking services of the five major retail banks (ABSA, Capitec, FNB, Nedbank, and Standard Bank) in South Africa. The findings of this study suggest that institution- based trust has a significant positive influence on use behaviour of mobile banking apps. Furthermore, perceived risk has a significant negative influence on use behaviour; and, lastly, institution-based trust is found to have a significant negative influence on perceived risk.

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Multidimensional Facets of Perceived Risk in Mobile Travel Booking

Cited by 168 publications

References 84 publications

Insurance uptake among small and medium-sized tourism and hospitality enterprises in a resource-scarce environment

Insurance uptake among small and medium-sized tourism and hospitality enterprises in a resource-scarce environment

Tourists’ Risk Perception and the Use of Mobile Devices in Beach Tourism Destinations

Dimensions of perceived risk of mobile banking apps: An empirical investigation of South African retail banking customers.

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